A researcher administers a certain intelligence test to a large sample of adults. The test contains verbal, numerical, and spatial subtests. The researcher finds a correlation coefficient of .65 between verbal and numerical scores, a correlation coefficient of .75 between numerical and spatial scores, and a correlation of .55 between verbal and spatial scores. Do these data support the hierarchical model of intelligence? Why or why not?
A) No. The hierarchical model predicts that scores on the subtests would be unrelated to each other.
B) Yes. Scores on all the subtests are related to each other, but the correlation coefficients aren't extremely high.
C) No. The hierarchical model predicts that scores on two of the subtests would be very strongly related, whereas scores on the third subtest would be unrelated to scores on either of the other two.
D) No. The hierarchical model predicts that the correlation coefficients would be very close to 1.00.

Question

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The data supports the hierarchical model of intelligence because scores on all the subtests are related to each other, but the correlation coefficients aren't extremely high. The hierarchical model does not predict that scores on the subtests would be unrelated to each other (A), or that the correlation coefficients would be very close to 1.00 (D). It also does not predict that scores on two of the subtests would be very strongly related, whereas scores on the third subtest would be unrelated to scores on either of the other two (C).

A Researcher Administers a Certain Intelligence Test to a Large